Summary
Ekaterina Sheina is a Software Development Engineer and seasoned Machine Learning Engineer with 11 years of experience building and shipping production ML systems, particularly in advertising and recommendation domains. She has a strong track record of end-to-end model development, deployment and monitoring—having improved ad recommendation pipelines, led offline testing systems, and owned AB testing platforms that directly influenced revenue. Comfortable with big data and cloud-native stacks, she has implemented RAG applications with LLM backends on AWS and productionized models across fintech and adtech organizations. With a master’s in applied mathematics and a background spanning biostatistics to startup ML, she combines rigorous quantitative foundations with hands-on ML DevOps skills. A detail that stands out: beyond modeling, she has repeatedly driven infrastructure and product ownership, bridging data science, engineering and experimentation to turn models into measurable business impact.
11 years of coding experience
8 years of employment as a software developer
Data Science qualification, Data Science qualification at Computer Science Center
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Peter the Great St.Petersburg Polytechnic University